Your platform has zero public documentation for generic AI tools to reference.
Short AI workflow projects for biobanking companies
Automate defined workflows inside your proprietary platform
Turn internal documentation and repetitive dashboard setup work into a working AI-assisted workflow with retrieval, validation, and a deployable pipeline.
Start a conversationThe challenge
Generic AI tools cannot navigate a closed platform on their own
Essential operating knowledge is contained in internal documentation.
Repetitive dashboard setup work consumes time but depends on platform-specific rules.
AI-generated actions need validation before they become usable workflows.
The approach
Build around the platform knowledge you already have
A short project can convert internal platform documentation into retrieval and validation tools, connect them in a pipeline, and deploy workflows for clearly defined tasks. The result is a documented and validated proof of concept inside your existing proprietary environment.
Platform-specific automation
Design the workflow around your internal documentation and the defined tasks users perform inside your platform.
Built-in validation
Add validation tools to the pipeline rather than relying on unsupported output from a generic AI assistant.
Working proof of concept
Test what is possible through deployed user workflows before considering broader automation.
How it works
A practical route from question to outcome.
1
Define the task
Choose a repetitive, bounded workflow—such as dashboard setup—and identify the expected user outcome.
2
Structure internal knowledge
Use available internal documentation to create the retrieval layer required for the workflow.
3
Build retrieval and validation tools
Develop the tools needed to find relevant platform knowledge and validate workflow outputs.
4
Connect and deploy the workflow
Wire the tools into a pipeline and deploy working user workflows as a proof of concept.
Evidence
Proof relevant to this work.
A proof of concept deployed working user workflows on a proprietary biobanking platform with zero public documentation.
Internal documentation was scraped, retrieval and validation tools were built, and the components were wired into a pipeline to automate dashboard setup workflows.
Short AI projects are available, especially for science and research applications.
Aditya Kabra is open to short projects and workshops on AI use, particularly around science, research, and education.
Relevant work
AI agent for a closed biobanking platform
A biobanking company wanted to explore whether AI could automate dashboard setup on its proprietary platform, which had zero public documentation. Internal docs were scraped, retrieval and validation tools were built, and the components were connected in a pipeline.
The proof of concept deployed working user workflows and demonstrated what was possible inside the closed enterprise system.Questions
What you may want to know.
Can this work if our platform has no public documentation?
Yes. A previous proof of concept used internal documentation to build retrieval and validation tools for a proprietary biobanking platform with zero public documentation.
What type of work can be automated?
The project starts with a clearly defined, repetitive task. Dashboard setup is one demonstrated example.
Is this a full platform replacement?
No. The offering is a short AI tool, agent, or workflow project focused on defined tasks inside your existing proprietary platform.
How are outputs checked?
Validation tools can be built into the workflow pipeline so outputs are checked against the requirements of the defined task.
Next step
Explore one defined workflow inside your platform
If repetitive work is constrained by a closed platform and internal documentation, start with a focused proof of concept built around the task your users already perform.
Start a conversation